PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-04-24 10:21:07.631384+00:00 (UTC)
In US/Central Time, this is 2024-04-24 05:21:07.631384-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/5b7ac2d7ec35a2978223b9cb8ee6da9af49e0a8900dce734b67511d026c200db.png
We are just generating a random time serie here.
../_images/037d30219ce11e6f4e3696113e73d8419d08650e75cd2a3123378db4208b4fd5.png
../_images/cfe01ee65d52d6fa44057df9bcdc6f0de9c4c99ccff5900e7f889cf55cb9c2d1.png